Emmanuel John M. Carranza

Orcid: 0000-0003-1765-0352

According to our database1, Emmanuel John M. Carranza authored at least 28 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Spatial extrapolation of downscaled geochemical data using conditional GAN.
Comput. Geosci., October, 2023

Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization.
Comput. Geosci., June, 2023

First-Pass prospectivity mapping for Au-Ag mineralization in Sikhote-Alin Superterrane, Southeast Russia through field sampling, image enhancement on ASTER data, and MaxEnt modeling.
Earth Sci. Informatics, March, 2023

2021
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China).
Comput. Geosci., 2021

2020
Optimization of geochemical anomaly detection using a novel genetic <i>K</i>-means clustering (GKMC) algorithm.
Comput. Geosci., 2020

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising.
IEEE Access, 2020

2019
Integration of auto-encoder network with density-based spatial clustering for geochemical anomaly detection for mineral exploration.
Comput. Geosci., 2019

Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls.
Earth Sci. Informatics, 2019

2016
GeoCube: A 3D mineral resources quantitative prediction and assessment system.
Comput. Geosci., 2016

2015
Geometric average of spatial evidence data layers: A GIS-based multi-criteria decision-making approach to mineral prospectivity mapping.
Comput. Geosci., 2015

Prediction-area (P-A) plot and C-A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling.
Comput. Geosci., 2015

Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping.
Comput. Geosci., 2015

Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines).
Comput. Geosci., 2015

2012
Ontology-aided annotation, visualization, and generalization of geological time-scale information from online geological map services.
Comput. Geosci., 2012

Multi- and hyperspectral geologic remote sensing: A review.
Int. J. Appl. Earth Obs. Geoinformation, 2012

2011
Support vector machine: A tool for mapping mineral prospectivity.
Comput. Geosci., 2011

Application of geochemical zonality coefficients in mineral prospectivity mapping.
Comput. Geosci., 2011

Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets.
Comput. Geosci., 2011

A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps.
Comput. Geosci., 2011

Geocomputation of mineral exploration targets.
Comput. Geosci., 2011

2010
Development of a controlled vocabulary for semantic interoperability of mineral exploration geodata for mining projects.
Comput. Geosci., 2010

Algorithms for multi-parameter constrained compositing of borehole assay intervals from economic aspects.
Comput. Geosci., 2010

2009
Objective selection of suitable unit cell size in data-driven modeling of mineral prospectivity.
Comput. Geosci., 2009

Optimum Sampling Scheme for Characterization of Mine Tailings.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain.
Int. J. Appl. Earth Obs. Geoinformation, 2008

Field Sampling from a Segmented Image.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008

2006
Abundance Estimation of Spectrally Similar Minerals by Using Derivative Spectra in Simulated Annealing.
IEEE Trans. Geosci. Remote. Sens., 2006

Bayesian network classifiers for mineral potential mapping.
Comput. Geosci., 2006


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